Gen AI Solution Engineer

Overview

Infosys Topaz is an AI‑first suite of services, solutions, and platforms designed to accelerate business value through generative AI technologies. It amplifies the potential of individuals, enterprises, and communities by fostering unprecedented innovations, pervasive efficiencies, and connected ecosystems. Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that drive growth, build interconnected ecosystems, and unlock efficiencies at scale. Join a pioneering team at the forefront of AI innovation, work with cutting‑edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business.

Responsibilities

• Review data preparation tasks and plans to address patterns or anomalies, ensuring data readiness for advanced modeling and AI.
• Review models for complex use cases (e.g., forecasting models, LLM‑based solutions) and refine algorithms to meet business needs.
• Review deployment plans for smooth transition into scalable, production‑ready solutions.
• Review test plans and results for analytics use cases, defining optimization standards for model accuracy and stability in alignment with business goals.
• Build models and analytics solutions tailored to business needs while ensuring quality and scalability across client engagements.
• Leverage tools like SAS and R/Python to create reusable customizations for non‑ML, ML, and deep‑learning algorithms, enhancing analytics including LLMs and delivering cost‑effective solutions.
• Review and refine analytics problems; identify data sources and extract from diverse environments.
• Oversee analysis execution and drive business insights.
• Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness.
• Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders.
• Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions.
• Collaborate with cross‑functional teams to align analytics delivery with business strategy.
• Review analytics outputs for adherence to quality frameworks and project commitments; recommend improvements to quality metrics and guide team members.
• Identify and recommend model changes needed for successful deployment.
• Engage in creation and refinement of IP assets such as analytics prototypes and accelerators.
• Develop insights, whitepapers, and proof‑of‑concept summaries that highlight innovative thinking.
• Review innovative models and applications in non‑ML, ML, deep learning, or LLM areas.
• Support participation in forums and internal knowledge exchanges.
• Deliver training sessions on technical and analytics‑specific topics.
• Collaborate on content creation and mentor team members through hands‑on guidance in live projects.
• Provide input for segment and unit‑level business plans.

Your Contribution To The Team

• Strong focus on innovation and scalable analytics solutions.
• Proactive problem‑solving ability for complex, data‑driven business challenges.
• Deep technical expertise across advanced modeling and AI use cases.
• Strategic mindset to align analytics with business goals.
• Ability to mentor team members and drive continuous improvement.
• Strong communication and knowledge‑sharing capabilities.

Required Skills and Experience

• Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence, and AI copilots; comfortable with planner‑executor, reflection, multi‑agent, and graph‑based orchestration patterns.
• Hands‑on experience with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search); working knowledge of grounding, prompt engineering, and context management.
• Experience integrating GenAI with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI, Anthropic, and Gemini, along with enterprise APIs, middleware, and data platforms.
• Command of AI governance, LLMOps, evaluation, observability, guardrails, model safety, compliance, and cloud‑native deployment.
• Ability to define reference architectures, lead solutioning discussions, drive architecture reviews, and collaborate with enterprise architects, business stakeholders, and engineering teams.

Preferred Skills and Experience

• Exposure to open‑source LLM ecosystems — Hugging Face, PyTorch, LoRA, QLoRA, PEFT — and models such as Llama, Mistral, Gemma, DeepSeek, and Falcon.
• Familiarity with multimodal AI, including vision‑language models, speech and audio models, and image or video generation.
• Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins, Terraform, Helm, Kubernetes) and awareness of front‑end stacks (React, Angular, TypeScript, GraphQL) used in copilot interfaces.

Additional Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution.
• Three years of progressive experience in the specialty may be considered in lieu of each year of education.
• Position may require relocation and/or travel to work/project locations.
• Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply.
• Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits

• Medical, Dental, Vision, and Life Insurance
• Long‑term and Short‑term Disability
• Health and Dependent Care Reimbursement Accounts
• Accident, Critical Illness, Hospital Indemnity, and Legal Insurance
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

About Us

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey by enabling an AI‑powered core that prioritizes change execution. We empower businesses with agile digital at scale to deliver unprecedented performance and customer delight. Our always‑on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.